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Исследователи Джонса Хопкинса представили Genex: ИИ-модель для создания 3D-миров.

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Искусственный интеллект из UC Berkeley представляет Pie: Фреймворк машинного обучения для прозрачного обмена и адаптивного расширения в выводе LLM.

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LogLLM: Использование больших языковых моделей для улучшения обнаружения аномалий в логах

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Исследователи Стэнфорда предлагают уникальную AI-структуру для анализа образовательных разговоров

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Большие данные и хранилище данных

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Исследование инструментов AgentOps: повышение наблюдаемости и отслеживаемости автономных агентов на основе моделей FM

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OptiLLM: Прокси для оптимизации вывода, совместимый с API OpenAI, улучшающий точность и производительность больших языковых моделей

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VirtuDockDL: Платформа для ускоренного открытия лекарств с помощью глубокого обучения

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Противодействие машинному обучению в беспроводных коммуникационных системах

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Mistral AI представила Pixtral Large: мультимодальная модель с 124 миллиардами параметров.

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Встречайте Xmodel-1.5: Новый многоязычный модель с 1 миллиардом параметров, обученная на 2 триллионах токенов.

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Pleias представляет общий корпус: крупнейший многоязычный набор данных для предобучения языковых моделей.

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Fireworks AI выпустила f1: новый ИИ, превосходящий GPT-4o и Claude 3.5 в сложных задачах.

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DeBaTeR: Новый метод ИИ, использующий временную информацию для улучшения фильтрации и предсказаний в нейронных графах.

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DBgDel: Рамки улучшенного удаления генов для производства, связанного с ростом, в метаболических моделях генома

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Сбалансирование точности и скорости в системах RAG: Оптимизация методов поиска

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Kinetix: Открытая вселенная физических задач для обучения с подкреплением

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Алгоритм опорных векторов (SVM)

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GraphAide: Создание и использование графов знаний для цифровых помощников в определенной области

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Исследователи MIT предложили Boltz-1: первую открытую модель ИИ с точностью, сравнимой с AlphaFold3, для предсказания структуры биомолекул.

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